Triple

T18495210
Position Surface form Disambiguated ID Type / Status
Subject Hardy inequality E451926 entity
Predicate generalizedBy P2372 FINISHED
Object Hardy–Sobolev inequalities
Hardy–Sobolev inequalities are functional inequalities that combine features of Hardy and Sobolev inequalities to control weighted norms of functions and their gradients, playing a key role in analysis and partial differential equations.
E1328169 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Hardy–Sobolev inequalities | Statement: [Hardy inequality, generalizedBy, Hardy–Sobolev inequalities]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hardy–Sobolev inequalities
Context triple: [Hardy inequality, generalizedBy, Hardy–Sobolev inequalities]
  • A. Sobolev inequality
    The Sobolev inequality is a fundamental result in functional analysis and partial differential equations that bounds the size of a function in certain Lebesgue spaces by the size of its derivatives, enabling key embedding and regularity properties.
  • B. Hardy inequality
    The Hardy inequality is a fundamental result in mathematical analysis that provides bounds on integrals or sums involving a function and its distance from a point, with important applications in functional analysis and partial differential equations.
  • C. Caffarelli–Kohn–Nirenberg inequalities
    The Caffarelli–Kohn–Nirenberg inequalities are a family of weighted interpolation inequalities in analysis that generalize classical Sobolev and Hardy inequalities and play a key role in the study of partial differential equations and regularity theory.
  • D. Morawetz inequalities
    Morawetz inequalities are fundamental energy and decay estimates in the study of partial differential equations, especially wave and dispersive equations, that provide control over the long-time behavior of solutions.
  • E. Gagliardo–Nirenberg interpolation inequalities
    The Gagliardo–Nirenberg interpolation inequalities are fundamental results in functional analysis and partial differential equations that bound intermediate norms of functions by combinations of lower and higher order norms, playing a key role in regularity theory and nonlinear analysis.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hardy–Sobolev inequalities
Triple: [Hardy inequality, generalizedBy, Hardy–Sobolev inequalities]
Generated description
Hardy–Sobolev inequalities are functional inequalities that combine features of Hardy and Sobolev inequalities to control weighted norms of functions and their gradients, playing a key role in analysis and partial differential equations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hardy–Sobolev inequalities
Target entity description: Hardy–Sobolev inequalities are functional inequalities that combine features of Hardy and Sobolev inequalities to control weighted norms of functions and their gradients, playing a key role in analysis and partial differential equations.
  • A. Sobolev inequality
    The Sobolev inequality is a fundamental result in functional analysis and partial differential equations that bounds the size of a function in certain Lebesgue spaces by the size of its derivatives, enabling key embedding and regularity properties.
  • B. Hardy inequality
    The Hardy inequality is a fundamental result in mathematical analysis that provides bounds on integrals or sums involving a function and its distance from a point, with important applications in functional analysis and partial differential equations.
  • C. Caffarelli–Kohn–Nirenberg inequalities chosen
    The Caffarelli–Kohn–Nirenberg inequalities are a family of weighted interpolation inequalities in analysis that generalize classical Sobolev and Hardy inequalities and play a key role in the study of partial differential equations and regularity theory.
  • D. Morawetz inequalities
    Morawetz inequalities are fundamental energy and decay estimates in the study of partial differential equations, especially wave and dispersive equations, that provide control over the long-time behavior of solutions.
  • E. Gagliardo–Nirenberg interpolation inequalities
    The Gagliardo–Nirenberg interpolation inequalities are fundamental results in functional analysis and partial differential equations that bound intermediate norms of functions by combinations of lower and higher order norms, playing a key role in regularity theory and nonlinear analysis.
  • F. None of above.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e532bfeef4819096b2fa28abb662b9 completed April 19, 2026, 7:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a049164ed7c81909af929b5969a5a8c completed May 13, 2026, 2:57 p.m.
NEDg Description generation batch_6a0492dfcde88190a05adf587a6a2a99 completed May 13, 2026, 3:03 p.m.
NED2 Entity disambiguation (via description) batch_6a04936cfd348190980a63cbea836b2e completed May 13, 2026, 3:06 p.m.
Created at: April 10, 2026, 11:35 a.m.